MIQP-based Layout Design for Building Interiors

Wenming Wu, Lubin Fan, Ligang Liu, Peter Wonka

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

We propose a hierarchical framework for the generation of building interiors. Our solution is based on a mixed integer quadratic programming (MIQP) formulation. We parametrize a layout by polygons that are further decomposed into small rectangles. We identify important high-level constraints, such as room size, room position, room adjacency, and the outline of the building, and formulate them in a way that is compatible with MIQP and the problem parametrization. We also propose a hierarchical framework to improve the scalability of the approach. We demonstrate that our algorithm can be used for residential building layouts and can be scaled up to large layouts such as office buildings, shopping malls, and supermarkets. We show that our method is faster by multiple orders of magnitude than previous methods.
Original languageEnglish (US)
Pages (from-to)511-521
Number of pages11
JournalComputer Graphics Forum
Volume37
Issue number2
DOIs
StatePublished - Jun 1 2018

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